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Abstract #3748

Online Real-Time Visualization of an Active Catheter using Compressed Sensing in Interventional MRI

Cheng Ouyang1,2, Tobia Wech1,3, Kamal Vij4, Li Pan1,5

1Center for Applied Medical Imaging, Siemens Corporate Research, Baltimore, MD, United States; 2Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States; 3Institute of Radiology, University of Wuerzburg, Wuerzburg, Bavaria, Germany; 4SurgiVision, Inc., Irvine, CA, United States; 5Department of Radiology & Radiological Science, Johns Hopkins University, Baltimore, MD, United States

In interventional MRI, it is crucial to visualize catheter devices in real time. Compressed sensing (CS) has been recently proposed as a promising approach to accelerate MR imaging and data acquisition of sparse objects. However, current literature reports on this topic are limited to date to offline simulation studies, and true real-time visualization is hindered due to the bottleneck of time-consuming non-linear iterative CS image reconstruction. To our knowledge, no online implementation of CS on both image acquisition and reconstruction has yet been reported on a standard clinical MR scanner. In this work, we present a feasibility study on the use of CS for online real-time catheter visualization. The results from our study illustrate that a framework of online real-time CS acquisition and reconstruction can be successfully established, resulting in frame rates sufficient for real-time visualization of a moving catheter with typical velocity.